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Ask HN: What coding agents are you using?

8 points by linzhangrun ↗ HN
My main coding agents are CodeX-CLI and OpenCode (Harness seems to have some problems). I also use CodeWhale, Antigravity-CLI and OpenClaude as supplements (because of network issues, I don't really dare to use Claude Code). In some special cases, bashagt.

What coding agents are everyone using, or do you have any recommendations? New tools are coming out like waves now.

18 comments

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gdad
Aiden, Claude Code
wooders
Letta Code - It’s a much more coworker-like experience because it can learn, but also performs very well for coding, and the harness can be extended like pi

(disclaimer: I work on Letta Code)

maximedeco
Used Antigravity, but now Claude Code
vivekchand19
claude code mostly. run a clawmetry tab alongside so i can see what's actually happening across sessions, especially for longer tasks.
spgorbatiuk
Both CC (mostly pet projects and automation), and Cursor (mostly at work, because I still read the code, interact with python notebooks, etc.)
ianhxu
Claude Code and Codex are my daily drivers, and I often run them side by side on the same task to compare. For me Claude Code gets something working faster, but I burn the 5h quota on the $200 Max plan really fast. Codex I tend to trust a bit more on the careful diffs. The bigger change for me wasn't the tool though, it was writing a spec doc first (features/UX, technical, language-specific) before either agent touches code, then reviewing every diff. I still set up a lot of the harness by hand. How are people automating worktrees and parallel sessions?
8b16380d
Claude code and open code with various models. Codex thrown in for good measure here or there and when I hit limits elsewhere
zerr
Is it true that there is not much difference between free and affordable models? And, unless you are spending $2000 per month, you are not really leveraging the industry standard coding agents.
m-dot-reviews
Anecdotally, yes there is definitely a difference. Even e.g. Haiku (cheapest Anthropic model) vs gpt-oss-120b had a big difference in quality and syntax issues when I was testing them for DSL generation. Granted, that's a little different from generating a popular language with lots of training data, but you could consider it a proxy for "learning" new concepts outside of training.
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slipwalker
multiple pi.dev with opencode.ai/go plan; inside herdr muxer.

works nicely at a very agreeable cost ( USD$10/mo ).

lasky
claude code in CLI with codex CLI plugin. /remote-env when I'm out

-- Codex app for more research heavy / data science heavy tasks. codex ios already built into chatgpt app.